From GeoSentinel data to epidemiological insights: a multidisciplinary effort towards artificial intelligence-supported detection of infectious disease outbreaks

Stan Heidema; Ivo V. Stoepker; Gerard Flaherty; Kristina M. Angelo; Richard A.J. Post; Charles Miller; Michael Libman; Davidson H. Hamer; Edwin R. Van Den Heuvel; Ralph Huits

doi:10.1093/jtm/taae013

From GeoSentinel data to epidemiological insights: a multidisciplinary effort towards artificial intelligence-supported detection of infectious disease outbreaks

Stan Heidema
, Ivo V. Stoepker
, Gerard Flaherty
, Kristina M. Angelo
, Richard A.J. Post
, Charles Miller
, Michael Libman
, Davidson H. Hamer
, Edwin R. Van Den Heuvel
, Ralph Huits

Medicine

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

5 Citations (Scopus)

Original language	English
Article number	taae013
Journal	Journal of Travel Medicine
Volume	31
Issue number	4
DOIs	https://doi.org/10.1093/jtm/taae013
Publication status	Published - 1 May 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

artificial intelligence
data science
disease surveillance
outbreak detection
Sentinel event
travel medicine

Access to Document

10.1093/jtm/taae013

Cite this

Heidema, S., Stoepker, I. V., Flaherty, G., Angelo, K. M., Post, R. A. J., Miller, C., Libman, M., Hamer, D. H., Van Den Heuvel, E. R., & Huits, R. (2024). From GeoSentinel data to epidemiological insights: a multidisciplinary effort towards artificial intelligence-supported detection of infectious disease outbreaks. Journal of Travel Medicine, 31(4), Article taae013. https://doi.org/10.1093/jtm/taae013

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title = "From GeoSentinel data to epidemiological insights: a multidisciplinary effort towards artificial intelligence-supported detection of infectious disease outbreaks",

keywords = "artificial intelligence, data science, disease surveillance, outbreak detection, Sentinel event, travel medicine",

author = "Stan Heidema and Stoepker, \{Ivo V.\} and Gerard Flaherty and Angelo, \{Kristina M.\} and Post, \{Richard A.J.\} and Charles Miller and Michael Libman and Hamer, \{Davidson H.\} and \{Van Den Heuvel\}, \{Edwin R.\} and Ralph Huits",

year = "2024",

month = may,

day = "1",

doi = "10.1093/jtm/taae013",

language = "English",

volume = "31",

journal = "Journal of Travel Medicine",

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}

Heidema, S, Stoepker, IV, Flaherty, G, Angelo, KM, Post, RAJ, Miller, C, Libman, M, Hamer, DH, Van Den Heuvel, ER & Huits, R 2024, 'From GeoSentinel data to epidemiological insights: a multidisciplinary effort towards artificial intelligence-supported detection of infectious disease outbreaks', Journal of Travel Medicine, vol. 31, no. 4, taae013. https://doi.org/10.1093/jtm/taae013

From GeoSentinel data to epidemiological insights: a multidisciplinary effort towards artificial intelligence-supported detection of infectious disease outbreaks. / Heidema, Stan; Stoepker, Ivo V.; Flaherty, Gerard et al.
In: Journal of Travel Medicine, Vol. 31, No. 4, taae013, 01.05.2024.

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

TY - JOUR

T1 - From GeoSentinel data to epidemiological insights

T2 - a multidisciplinary effort towards artificial intelligence-supported detection of infectious disease outbreaks

AU - Heidema, Stan

AU - Stoepker, Ivo V.

AU - Flaherty, Gerard

AU - Angelo, Kristina M.

AU - Post, Richard A.J.

AU - Miller, Charles

AU - Libman, Michael

AU - Hamer, Davidson H.

AU - Van Den Heuvel, Edwin R.

AU - Huits, Ralph

PY - 2024/5/1

Y1 - 2024/5/1

KW - artificial intelligence

KW - data science

KW - disease surveillance

KW - outbreak detection

KW - Sentinel event

KW - travel medicine

UR - https://www.scopus.com/pages/publications/85195113693

U2 - 10.1093/jtm/taae013

DO - 10.1093/jtm/taae013

M3 - Article

C2 - 38236181

AN - SCOPUS:85195113693

SN - 1195-1982

VL - 31

JO - Journal of Travel Medicine

JF - Journal of Travel Medicine

IS - 4

M1 - taae013

ER -

From GeoSentinel data to epidemiological insights: a multidisciplinary effort towards artificial intelligence-supported detection of infectious disease outbreaks

UN SDGs

Keywords

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